There are no books on the market that make the subject of data engineering accessible to non-experts. The book gives a clear, user-friendly introduction to the main theoretical and practical tools for analyzing complex systems. The corresponding mathematical tools and simulations can be found on an ftp site. It’s not like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it There are researchers in data management, electrical engineering, computer science, and life sciences.

Review

Several methodologies are presented to cope with real world uncertainties. There is a book news source. 2, Vol. 4, December 2001)

A book that should be in the library of any institution where research and advanced study in fuzzy systems are carried out. There is a choice. 2, Vol. 7, March 2002)

Well organized, easy to read, and self-contained… I would recommend it to anyone who is interested in studying fuzzy systems. The International Journal of General Systems is a journal. 2, Vol. 6, 2002)

The back cover.

There are practical applications of fuzzy systems.

Fuzzy mathematical concepts such as fuzzy sets, fuzzy logic, and similarity relations represent one of the most exciting currents in modern engineering and have great potential in applications. Data Engineering guides the reader through a number of concepts connected by fuzzy mathematics and discusses these concepts from a systems engineering perspective to show the continuing attractiveness and applicability of fuzzy mathematics.

The author talks about the fundamental aspects of data analysis. He takes aholistic view of the nature and application of fuzzy systems and avoids a narrow discussion of specialized methodologies. The coverage includes: Modeling, identification, and clustering are the basics. System analysis is done. Uncertainty techniques can be used. Random-set modeling and identification. Fuzzy inference engines are used. There is a fuzzy classification, control, and mathematics.

The book describes methods to identify interrelationships and interactions from data and helps the person to decide which variables to measure.

Data Engineering is an up-to-date and informative survey of the theoretical and practical tools for analyzing complex systems. It offers a unique treatment of complex issues that is accessible to students and researchers from a variety of background.

Data Engineering, Fuzzy Mathematics in Systems Theory and Data Analysis can be purchased by you.

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